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Related Experiment Video

Updated: Mar 29, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Correspondence between Resting-State Activity and Brain Gene Expression.

Guang-Zhong Wang¹, T Grant Belgard², Deng Mao³

¹Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX 75390, USA.

|November 22, 2015

Summary

Researchers found a link between brain gene expression and resting-state brain activity. This study reveals specific genes correlate with functional brain imaging signals in the default mode network.

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Published on: September 26, 2015

Area of Science:

Neuroscience
Genomics
Neuroimaging

Background:

The connection between human brain gene expression and functional activity remains largely uninvestigated.
Understanding this relationship is crucial for deciphering brain function and dysfunction.

Purpose of the Study:

To explore the relationship between regional gene expression and functional brain activity in the human brain.
To identify specific genes that correlate with resting-state brain activity patterns.

Main Methods:

Utilized two independent human functional magnetic resonance imaging (fMRI) resting-state datasets.
Analyzed fractional amplitude of low-frequency fluctuations (fALFF) from fMRI data.
Compared fALFF data with regional cortical gene expression from RNA-sequencing datasets.

Main Results:

Identified a significant number of genes with expression levels correlating with fALFF, exceeding chance expectations.
Discovered specific genes that showed correlations with imaging signals across multiple gene expression datasets.
These correlations were particularly noted within the default mode network.

Conclusions:

The study provides evidence for a population-level association between steady-state gene expression in brain regions and resting-state functional activity.
These findings open new avenues for understanding the molecular underpinnings of brain network function.